–
- Code:
- ECOM-R312/DPE-9312
- Field:
- Macroeconomics
- Targets:
- Research Master's students PhD students
- Organiser:
- University of Helsinki - Economics
- Instructor:
- Oskari Vähämaa
- Period:
- Period 1
- Format:
- Lecture
- Method:
- Contact teaching
- Venue:
- Economicum
- Enrollment:
In case of conflicting information consider the Sisu/Course/Moodle pages the primary source of information.
Aalto and Hanken economics students can enroll in their home university’s SISU! Further instructions can be found on the How to enroll page, also for other students.
Before taking and completing the course make sure that the credits can be counted towards your degree at your home university by checking which courses are included in your curriculum or by contacting your home university’s student/learning services.
Please note that there is a different code for UH PhD students: DPE-9312
Content
This course introduces students to macroeconomics and dynamic economic analysis at the graduate level, focusing on the workhorse models of economic growth. It starts with the Solow growth model, moving on to cover the deterministic version of the neoclassical growth model, both in discrete and continuous times, and solves it using an infinite horizon Lagrangian/Hamiltonian. The course introduces dynamic programming and value function iteration methods and compares them with the above-mentioned methods in the same model environment. The interaction of different generations is analyzed using the basic overlapping generations model. Finally, a short introduction to endogenous technological change is given.
Learning outcomes
After the course, the student should
- Understand and be able to reproduce the deterministic version of the Ramsey-Cass-Koopman macroeconomic model, in both discrete and continuous time (infinite horizon Lagrangian and Hamiltonian techniques)
- Be able to solve the models with dynamic programming and value function iteration methods and understand the advantages of the model over the Lagrangian/Hamiltonian structures
- Understand how the baseline overlapping generation model can be used to analyze the interactions between different generations